随机伊辛网络中的量子混沌

András Grabarits, Kasturi Ranjan Swain, Mahsa Seyed Heydari, Pranav Chandarana, Fernando J. Gómez-Ruiz, Adolfo del Campo
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引用次数: 0

摘要

我们报告了对横向场伊辛模型在 Erd\H{o}s-R\'enyi 网络上的普遍量子混沌特征的系统研究。这是通过研究局部谱测量,如级间距和级速度统计来实现的。作为一种全局度量,我们还进行了频谱形式因子分析,以探测任意频谱间距下的能级相关性。我们的研究结果表明,这些量度捕捉到了在各种情况下改变横向场的连通性和强度时混乱行为的细分。我们证明,对于连接稀疏和密集的网络,电平间距统计量和频谱形式因子是这种崩溃的信号。速度统计量捕捉到了稀疏极限下尚存的混沌特征。然而,在整个连接范围内,这些类似于可积分的状态只延伸了极小的一段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantum Chaos in Random Ising Networks
We report a systematic investigation of universal quantum chaotic signatures in the transverse field Ising model on an Erd\H{o}s-R\'enyi network. This is achieved by studying local spectral measures such as the level spacing and the level velocity statistics. A spectral form factor analysis is also performed as a global measure, probing energy level correlations at arbitrary spectral distances. Our findings show that these measures capture the breakdown of chaotic behavior upon varying the connectivity and strength of the transverse field in various regimes. We demonstrate that the level spacing statistics and the spectral form factor signal this breakdown for sparsely and densely connected networks. The velocity statistics capture the surviving chaotic signatures in the sparse limit. However, these integrable-like regimes extend over a vanishingly small segment in the full range of connectivity.
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